Perform a wide variety of computer vision tasks such as image
processing and manipulation, feature and object detection, and image
restoration to build real-life computer vision applications
Key Features
- Explore the potential of computer vision with Raspberry Pi and Python
programming
- Perform computer vision tasks such as image processing and
manipulation using OpenCV and Raspberry Pi
- Discover easy-to-follow examples and screenshots to implement popular
computer vision techniques and applications
Book Description
Raspberry Pi is one of the popular single-board computers of our
generation. All the major image processing and computer vision
algorithms and operations can be implemented easily with OpenCV on
Raspberry Pi. This updated second edition is packed with cutting-edge
examples and new topics, and covers the latest versions of key
technologies such as Python 3, Raspberry Pi, and OpenCV. This book will
equip you with the skills required to successfully design and implement
your own OpenCV, Raspberry Pi, and Python-based computer vision
projects.
At the start, you'll learn the basics of Python 3, and the fundamentals
of single-board computers and NumPy. Next, you'll discover how to
install OpenCV 4 for Python 3 on Raspberry Pi, before covering major
techniques and algorithms in image processing, manipulation, and
computer vision. By working through the steps in each chapter, you'll
understand essential OpenCV features. Later sections will take you
through creating graphical user interface (GUI) apps with GPIO and
OpenCV. You'll also learn to use the new computer vision library,
Mahotas, to perform various image processing operations. Finally, you'll
explore the Jupyter Notebook and how to set up a Windows computer and
Ubuntu for computer vision.
By the end of this book, you'll be able to confidently build and deploy
computer vision apps.
What you will learn
- Set up a Raspberry Pi for computer vision applications
- Perform basic image processing with libraries such as NumPy,
Matplotlib, and OpenCV
- Demonstrate arithmetical, logical, and other operations on images
- Work with a USB webcam and the Raspberry Pi Camera Module
- Implement low-pass and high-pass filters and understand their
applications in image processing
- Cover advanced techniques such as histogram equalization and
morphological transformations
- Create GUI apps with Python 3 and OpenCV
- Perform machine learning with K-means clustering and image
quantization
Who this book is for
This book is for beginners as well as experienced Raspberry Pi and
Python 3 enthusiasts who are looking to explore the amazing world of
computer vision. Working knowledge of the Python 3 programming language
is assumed.
